Deep Learning with R

This chapter will build a foundation for neural networks followed by deep learning foundation and trends. We will cover the following topics:

  • Starting with logistic regression
  • Introducing the dataset
  • Performing logistic regression using H2O
  • Performing logistic regression using TensorFlow
  • Visualizing TensorFlow graphs
  • Starting with multilayer perceptrons
  • Setting up a neural network using H2O
  • Tuning hyper-parameters using grid searches in H2O
  • Setting up a neural network using MXNet
  • Setting up a neural network using TensorFlow
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